Human Rescurce Management Factors Affecting the Work Eff iciency of Supportive Staff of Mahidol University

Abstract

The objective of this research was to study the level of human resource management and work efficiency in comparison to personal factors, to study the relationship between the level of human resource management and work efficiency, and to study the effect of human resource management on work efficiency. The sample in this study include the supportive staff of Mahidol University, total 362 persons., selected via simple random sampling and determine the sample size via Taro Yamane formular. Stratified random sampling is employed to select the sample according to the proportions of the staff according to their affiliation. The data collection tool in this study is the structured questionnaire with 0.96 reliability, and analyzed the data using the statistical approaches of mean, percentage, average, standard deviation, t Test, F test, Pearson’s product moment correlation, and Stepwise Multiple Regression Analysis at p=0.05.

1. The overall level of human resrouce management in participants is in a high level (3.77). When each aspect which are performance evaluation, safety and security, recruit and selection, planning, training and development, and payment and entitlements are considred, the level of management in each aspect is also found to be high. (Average of 4.04, 4.02, 3.78, 3.74, 3.67 and 3.36, respectively)


2. The overall level of work efficiency in participants is in a high level (4.02). When each aspect is considered, the level of efficiency is high level in all aspects, which are expense, work time, workload, and quality of work. (Average of 4.09, 4.06, 3.99 and 3.96, respectively)


3. Difference in education and personnel status do not lead to difference in work efficiency, while difference in gender, age, and word period all have significant difference on work efficiency at p = 0.05.


4. Human resrouce management has positive relationship with work efficiency at p = 0.05, and with the low relationship value of r = 0.186.


5. Human resouce management affects work efficiency and can be a good indicator to use in prediction, these factors include: human resouce planning (X₁), performance evaluation (X₆), safety and security (X₅) and payment and entitlements (X₄) respectively, with the R value of 0.599, and (R²) of 0.359. The equation could be used to predict the overall work efficiency with 35.9% accuracy, with the predictive equation constant of 3.51 at p = 0.05 and the equations could be derived as follows:

                   Raw Score Predictive Equation    Y^/ = 3.51 + 0.19 (X₁) 0.39 (X₆) + -0.55 (X₅) + 0.14 (X₄)

                   Standard Score Predictive Equation            Z^/ = 0.26 (X₁) + 0.73 (X₆) + -0.85 (X₅) + 0.30 (X₄)